Isolated and Connected Word Recognition—Theory and Selected Applications

Lawrence R. Rabiner, Stephen E. Levinson

Research output: Contribution to journalArticlepeer-review


The art and science of speech recognition have been advanced to the state where it is now possible to communicate reliably with a computer by speaking to it in a disciplined manner using a vocabulary of moderate size. It is the purpose of this paper to outline two aspects of speech-recognition research. First, we discuss word recognition as a classical pattern-recognition problem and show how some fundamental concepts of signal processing, information theory, and computer science can be combined to give us the capability of robust recognition of isolated words and simple connected word sequences. We then describe methods whereby these principles, augmented by modern theories of formal language and semantic analysis, can be used to study some of the more general problems in speech recognition. It is anticipated that these methods will ultimately lead to accurate mechanical recognition of fluent speech under certain controlled conditions.

Original languageEnglish (US)
Pages (from-to)621-659
Number of pages39
JournalIEEE Transactions on Communications
Issue number5
StatePublished - May 1981
Externally publishedYes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


Dive into the research topics of 'Isolated and Connected Word Recognition—Theory and Selected Applications'. Together they form a unique fingerprint.

Cite this